Identifying products for stable delivery using internet of things

Abstract

Aspects of the present invention disclose a method for identifying items that can utilize stabilized delivery in a delivery system. The method includes one or more processors obtaining data indicating a delivery item from an internet of things (IoT) enabled device. The method further includes determining information associated with the delivery item. The method further includes determining whether the information of the delivery item is associated with stabilized delivery. The method further includes scheduling delivery of the delivery item with a delivery vehicle, based at least in part on the information associated with the delivery item.

What is claimed is: 
     
       1. A method comprising:
 receiving, by one or more processors, image data about a delivery item from an internet of things (IoT) enabled device; 
 identifying, by one or more processors, the delivery item requested for delivery, based on the image data received; 
 determining, by the one or more processors, information associated with the delivery item indicating the delivery item is susceptible to inertial effects of delivery transit, based on utilizing a corpus of delivery feedback data of past damaged deliveries and the image data received identifying the delivery item; 
 generating, by the one or more processors, delivery instructions designating stabilized delivery of the delivery item utilizing a gyro-enabled capsule maintaining stability of the delivery item within the capsule during delivery transit; 
 scheduling, by the one or more processors, delivery of the delivery item with a delivery vehicle including the gyro-enabled capsule, based at least in part on the information associated with the delivery item. 
 
     
     
       2. The method of  claim 1 , wherein scheduling delivery of the delivery item with the delivery vehicle, further comprises:
 transmitting, by the one or more processors, a message to the delivery vehicle that includes a user address and of the generated delivery instructions for the delivery item. 
 
     
     
       3. The method of  claim 1 , wherein determining the information associated with the delivery item, further comprises:
 determining, by the one or more processors, a category of the delivery item based on features of the delivery item in digital imaging data from an IoT enabled device; and 
 identifying, by the one or more processors, a state of matter of the delivery item based at least in part on the category. 
 
     
     
       4. The method of  claim 3 , wherein identifying the state of matter of the delivery item based at least in part on the digital imaging data of the IoT enabled device, further comprises:
 identifying, by the one or more processors, contents of the delivery item; 
 determining, by the one or more processors, a classification of the contents of the delivery item, wherein the classification includes a state of matter; and 
 determining, by the one or more processors, properties corresponding to the classification of the contents of the delivery item, wherein the properties are selected from a group consisting of: strength and viscosity. 
 
     
     
       5. The method of  claim 1 , wherein obtaining digital imaging data of a delivery item from the IoT enabled device, further comprises:
 capturing, by the one or more processors, digital images of the delivery item from a feed of the IoT enabled device; 
 inputting, by the one or more processors, the digital images into a machine learning algorithm trained on a corpus of digital images to recognize delivery items prior to packing for delivery; and 
 determining, by the one or more processors, that an object is present in an image of the digital imaging data, based on the corpus of digital images utilized to train the machine learning algorithm. 
 
     
     
       6. The method of  claim 1 , wherein the delivery vehicle includes a capsule coupled to a gyroscopic device that is coupled to the delivery vehicle, and wherein the inertial effects at least reduced by the gyro-enabled capsule includes acceleration, deceleration, and external forces acting on the delivery vehicle. 
     
     
       7. A computer program product comprising:
 at least one computer readable storage medium and program instructions stored on the one or more computer readable storage medium, the program instructions comprising:
 program instructions to receive image data about a delivery item from an internet of things (IoT) enabled device; 
 program instructions to identify the delivery item requested for delivery, based on the image data received; 
 program instructions to determine information associated with the delivery item indicating the delivery item is susceptible to inertial effects of delivery transit, based on utilizing a corpus of delivery feedback data of past damaged deliveries and the image data received identifying the delivery item; 
 program instructions to generate delivery instructions designating stabilized delivery of the delivery item utilizing a gyro-enabled capsule maintaining stability of the delivery item within the capsule during delivery transit; and 
 program instructions to schedule delivery of the delivery item with a delivery vehicle including the gyro-enabled capsule, based at least in part on the information associated with the delivery item. 
 
 
     
     
       8. The computer program product of  claim 7 , wherein program instructions to schedule delivery of the delivery item with the delivery vehicle, further comprise program instructions to:
 transmit a message to the delivery vehicle that includes a user address and of the generated delivery instructions for the delivery item. 
 
     
     
       9. The computer program product of  claim 8 , wherein the delivery vehicle includes a capsule coupled to a gyroscopic device that is coupled to the delivery vehicle, and wherein the inertial effects at least reduced by the gyro-enabled capsule includes acceleration, deceleration, and external forces acting on the delivery vehicle. 
     
     
       10. The computer program product of  claim 7 , wherein program instructions to determine the information associated with the delivery item, further comprise program instructions to:
 determine a category of the delivery item based on features of the delivery item in digital imaging data of an IoT enabled device; and 
 identify a state of matter of the delivery item based at least in part on the category. 
 
     
     
       11. The computer program product of  claim 10 , wherein program instructions to identify the state of matter of the delivery item based at least in part on the digital imaging data of the IoT enabled device, further comprise program instructions to:
 identify contents of the delivery item; 
 determine a classification of the contents of the delivery item, wherein the classification includes a state of matter; and 
 determine properties corresponding to the classification of the contents of the delivery item, wherein the properties are selected from a group consisting of: strength and viscosity. 
 
     
     
       12. The computer program product of  claim 7 , wherein program instructions to obtain digital imaging data of a delivery item from the IoT enabled device, further comprise program instructions to:
 capture digital images of the delivery item from a feed of the IoT enabled device; 
 input the digital images into a machine learning algorithm trained on a corpus of digital images to recognize delivery items prior to packing for delivery; and 
 determine that an object is present in an image of the digital imaging data, based on the corpus of digital images utilized to train the machine learning algorithm. 
 
     
     
       13. A computer system comprising:
 one or more computer processors; 
 one or more computer readable storage media; and 
 program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising:
 program instructions to receive image data about a delivery item from an internet of things (IoT) enabled device; 
 program instructions to identify the delivery item requested for delivery, based on the image data received; 
 program instructions to determine information associated with the delivery item indicating the delivery item is susceptible to inertial effects of delivery transit, based on utilizing a corpus of delivery feedback data of past damaged deliveries and the image data received identifying the delivery item; 
 program instructions to generate delivery instructions designating stabilized delivery of the delivery item utilizing a gyro-enabled capsule maintaining stability of the delivery item within the capsule during delivery transit; and 
 program instructions to schedule delivery of the delivery item with a delivery vehicle including the gyro-enabled capsule, based at least in part on the information associated with the delivery item. 
 
 
     
     
       14. The computer system of  claim 13 , wherein program instructions to schedule delivery of the delivery item with the delivery vehicle, further comprise program instructions to:
 transmit a message to the delivery vehicle that includes a user address and of the generated delivery instructions for the delivery item. 
 
     
     
       15. The computer system of  claim 13 , wherein program instructions to determine the information associated with the delivery item, further comprise program instructions to:
 determine a category of the delivery item based on features of the delivery item in digital imaging data of an IoT enabled device; and 
 identify a state of matter of the delivery item based at least in part on the category. 
 
     
     
       16. The computer system of  claim 15 , wherein program instructions to identify the state of matter of the delivery item based at least in part on the digital imaging data of the IoT enabled device, further comprise program instructions to:
 identify contents of the delivery item; 
 determine a classification of the contents of the delivery item, wherein the classification includes a state of matter; and 
 determine properties corresponding to the classification of the contents of the delivery item, wherein the properties are selected from a group consisting of: strength and viscosity. 
 
     
     
       17. The computer system of  claim 13 , wherein program instructions to obtain the digital imaging data of a delivery item from the IoT enabled device, further comprise program instructions to:
 capture digital images of the delivery item from a feed of the IoT enabled device; 
 input the digital images into a machine learning algorithm; and 
 determine that an object is present in an image of the digital imaging data, based on a corpus utilized to train the machine learning algorithm.